The ever-growing demands for weight reduction and passive safety are making the development of new vehicle structures an increasingly complex process. Nevertheless the primary design of these structures is still very often intuitive and classical methods like the Finite Element Analysis cannot be used efficiently due to lack of data at the very beginning of the design process.
To effectively and systematically support the development of restraint systems for new vehicles, a multi-body model was developed which describes the essential elements of the vehicle front structure with sufficient accuracy to reliably simulate crash-type dependent signal characteristics.
One requirement of forward structures is to deliver acceleration signals which allow a clear distinction between Full-Frontal, AZT and ODB crashes. This guarantees passive car safety features to activate reliably. Due to the dependence of signal characteristics on specific vehicle structural properties, it is possible, by means of fast simulations, to derive faster results about the signal progress and design criteria for new car types. To this end a method to generate multi-body crash analysis models has been developed, The models generated sufficiently describe the main elements of a car forward structure, required to get reliable simulation results of crash type dependent signals.
The dissertation outlines the mathematical modeling of forward structures and explains and verifies this approach using real crash data.

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